AI Reading List (by Ilya Sutskever) - Part 1
In this video, we start a new series where we explore the first 5 items in the reading that Ilya Sutskever, former OpenAI chief scientist, gave to John Carmack. Ilya followed by saying that "If you really learn all of these, you’ll know 90% of what matters today".
References
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Transformer Self-Attention Mechanism Explained: • Transformer Self-Attention Mechanism ...
Long Short-Term Memory (LSTM) Equations Explained: • Long Short-Term Memory (LSTM) Equatio...
Reading List
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The Annotated Transformer: https://nlp.seas.harvard.edu/annotate...
The First Law of Complexodynamics: https://scottaaronson.blog/?p=762
The Unreasonable Effectiveness of Recurrent Neural Networks: https://karpathy.github.io/2015/05/21...
Understanding LSTM Networks: https://colah.github.io/posts/2015-08...
Recurrent Neural Networks Regularization: https://arxiv.org/pdf/1409.2329
Related Videos
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Why Language Models Hallucinate: • Why Language Models Hallucinate
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Contents
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00:00 - Intro
00:59 - Item 1: The Annotated Transformer
01:29 - Item 2: The First Law of Complexodynamics
02:21 - Item 3: The Unreasonable Effectiveness of Recurrent Neural Networks
03:05 - Item 4: Understanding LSTM Networks
03:36 - Item 5: Recurrent Neural Networks Regularization
04:11 - Outro
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